J. Richard Landis

107.8k total citations · 5 hit papers
246 papers, 81.1k citations indexed

About

J. Richard Landis is a scholar working on Urology, Rheumatology and Epidemiology. According to data from OpenAlex, J. Richard Landis has authored 246 papers receiving a total of 81.1k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Urology, 64 papers in Rheumatology and 37 papers in Epidemiology. Recurrent topics in J. Richard Landis's work include Urinary Bladder and Prostate Research (75 papers), Pelvic floor disorders treatments (63 papers) and Sexual function and dysfunction studies (25 papers). J. Richard Landis is often cited by papers focused on Urinary Bladder and Prostate Research (75 papers), Pelvic floor disorders treatments (63 papers) and Sexual function and dysfunction studies (25 papers). J. Richard Landis collaborates with scholars based in United States, Canada and United Kingdom. J. Richard Landis's co-authors include Gary G. Koch, Ismail Kola, John W. Kusek, Leroy M. Nyberg, Kathleen J. Propert, J. Curtis Nickel, Allen R. Kunselman, Katherine M. Flegal, William R. Harlan and Anthony J. Schaeffer and has published in prestigious journals such as New England Journal of Medicine, Circulation and Psychological Bulletin.

In The Last Decade

J. Richard Landis

241 papers receiving 77.6k citations

Hit Papers

The Measurement of Observer Agreement for Categorical Data 1977 2026 1993 2009 1977 1977 2004 1977 1998 20.0k 40.0k 60.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Measurement of Observer Agreement for Categorical Data
    1977 60.3k citations J. Richard Landis, Gary G. Koch Biometrics profile →
  2. An Application of Hierarchical Kappa-type Statistics in the Assessment of Majority Agreement among Multiple Observers
    1977 3.0k citations J. Richard Landis, Gary G. Koch Biometrics profile →
  3. Can the pharmaceutical industry reduce attrition rates?
    2004 2.8k citations J. Richard Landis et al. profile →
  4. An application of hierarchical kappa-type statistics in the assessment of majority agreement among multiple observers.
    1977 983 citations J. Richard Landis et al. PubMed profile →
  5. A Prospective Study of Microvascular Free-Flap Surgery and Outcome
    1998 495 citations J. Richard Landis et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Richard Landis United States 68 12.2k 8.3k 6.9k 6.1k 5.9k 246 81.1k
Gary G. Koch United States 75 12.7k 1.0× 8.3k 1.0× 8.1k 1.2× 6.1k 1.0× 5.9k 1.0× 485 89.9k
Cynthia D. Mulrow United States 60 17.6k 1.4× 9.9k 1.2× 10.0k 1.5× 9.9k 1.6× 3.2k 0.5× 142 90.2k
Doug Altman United Kingdom 43 12.8k 1.0× 7.3k 0.9× 7.6k 1.1× 7.4k 1.2× 2.4k 0.4× 93 64.7k
Jos Kleijnen United Kingdom 82 17.2k 1.4× 10.6k 1.3× 10.0k 1.5× 10.5k 1.7× 4.4k 0.8× 324 90.0k
Henrica C. W. de Vet Netherlands 109 14.0k 1.2× 6.0k 0.7× 7.3k 1.1× 3.7k 0.6× 3.5k 0.6× 521 68.8k
George A. Wells Canada 126 18.1k 1.5× 9.4k 1.1× 8.7k 1.3× 7.7k 1.3× 4.4k 0.7× 875 89.9k
Nan M. Laird United States 78 9.0k 0.7× 7.1k 0.9× 7.4k 1.1× 6.7k 1.1× 2.0k 0.3× 240 68.9k
Jonathan A C Sterne United Kingdom 97 13.3k 1.1× 12.0k 1.4× 9.2k 1.3× 8.7k 1.4× 2.3k 0.4× 402 84.3k
Simon G. Thompson United Kingdom 78 16.4k 1.3× 13.1k 1.6× 8.0k 1.2× 14.5k 2.4× 3.1k 0.5× 223 90.9k
L.M. Bouter Netherlands 137 18.6k 1.5× 9.8k 1.2× 9.4k 1.4× 3.9k 0.6× 3.2k 0.6× 652 88.8k

Countries citing papers authored by J. Richard Landis

Since Specialization
Citations

This map shows the geographic impact of J. Richard Landis's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Richard Landis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Richard Landis more than expected).

Fields of papers citing papers by J. Richard Landis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Richard Landis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Richard Landis. The network helps show where J. Richard Landis may publish in the future.

Co-authorship network of co-authors of J. Richard Landis

This figure shows the co-authorship network connecting the top 25 collaborators of J. Richard Landis. A scholar is included among the top collaborators of J. Richard Landis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Richard Landis. J. Richard Landis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Naliboff, Bruce D., Alisa J. Stephens‐Shields, Robert Moldwin, et al.. (2024). Relationship of Sex and Diagnosis With Symptoms and Illness Impact in Urologic Chronic Pelvic Pain; A Mapp Network Analysis. Neurourology and Urodynamics. 44(2). 400–408. 2 indexed citations
2.
Lai, H. Henry, Craig Newcomb, Dina Appleby, et al.. (2021). Comparison of deep phenotyping features of UCPPS with and without Hunner lesion: A MAPP‐II Research Network Study. Neurourology and Urodynamics. 40(3). 810–818. 14 indexed citations
3.
Raj, Dominic S., Michael B. Sohn, David M. Charytan, et al.. (2021). The Microbiome and p-Inulin in Hemodialysis: A Feasibility Study. Kidney360. 2(3). 445–455. 3 indexed citations
4.
Zheng, Zihe, Sushrut S. Waikar, Insa M. Schmidt, et al.. (2021). Subtyping CKD Patients by Consensus Clustering: The Chronic Renal Insufficiency Cohort (CRIC) Study. Journal of the American Society of Nephrology. 32(3). 639–653. 42 indexed citations
5.
Lai, H. Henry, Michel A. Pontari, J. Quentin Clemens, et al.. (2020). MP07-20 DISCOVERY, VALIDATION AND NOVEL VISUALIZATION OF SUBGROUPS IN UROLOGIC CHRONIC PELVIC PAIN SYNDROME (UCPPS). The Journal of Urology. 203. e104–e104. 1 indexed citations
6.
Sutcliffe, Siobhan, Robert Gallop, Gerald L. Andriole, et al.. (2019). A longitudinal analysis of urological chronic pelvic pain syndrome flares in the Multidisciplinary Approach to the Study of Chronic Pelvic Pain ( MAPP ) Research Network. British Journal of Urology. 124(3). 522–531. 8 indexed citations
7.
Schrepf, Andrew, Bruce D. Naliboff, David A. Williams, et al.. (2018). Adverse Childhood Experiences and Symptoms of Urologic Chronic Pelvic Pain Syndrome: A Multidisciplinary Approach to the Study of Chronic Pelvic Pain Research Network Study. Annals of Behavioral Medicine. 52(10). 865–877. 49 indexed citations
8.
Higgins, Millicent, Jacob B. Keller, J. Richard Landis, et al.. (2015). Risk of Chronic Obstructive Pulmonary Disease. American Review of Respiratory Disease. 2 indexed citations
9.
Weaver, Terri E., Cristina Mancini, Greg Maislin, et al.. (2012). Continuous Positive Airway Pressure Treatment of Sleepy Patients with Milder Obstructive Sleep Apnea: Results of the CPAP Apnea Trial North American Program (CATNAP) Randomized Clinical Trial. American Journal of Respiratory and Critical Care Medicine. 186(7). 677–683. 167 indexed citations
10.
Anderson, Amanda H., Wei Yang, Chi‐yuan Hsu, et al.. (2012). Estimating GFR Among Participants in the Chronic Renal Insufficiency Cohort (CRIC) Study. American Journal of Kidney Diseases. 60(2). 250–261. 160 indexed citations
11.
Tripp, Dean A., J. Curtis Nickel, Yanlin Wang, et al.. (2006). Catastrophizing and Pain-Contingent Rest Predict Patient Adjustment in Men With Chronic Prostatitis/Chronic Pelvic Pain Syndrome. Journal of Pain. 7(10). 697–708. 96 indexed citations
12.
Alexander, Richard B., Kathleen J. Propert, Anthony J. Schaeffer, et al.. (2004). Ciprofloxacin or Tamsulosin in Men with Chronic Prostatitis/Chronic Pelvic Pain Syndrome. Annals of Internal Medicine. 20 indexed citations
13.
Rovner, Eric, Kathleen J. Propert, Colleen Brensinger, et al.. (2000). Treatments used in women with interstitial cystitis: the Interstitial Cystitis Data Base (ICDB) study experience. Urology. 56(6). 940–945. 119 indexed citations
14.
Harlan, W. R., James M. Lepkowski, Ken Guire, et al.. (1986). Incidence, utilization, and costs associated with acute respiratory conditions, United States, 1980.. PubMed. 1–63. 3 indexed citations
15.
Higgins, M W, Jacob B. Keller, J. Richard Landis, et al.. (1984). Risk of chronic obstructive pulmonary disease. Collaborative assessment of the validity of the Tecumseh index of risk.. PubMed. 130(3). 380–5. 27 indexed citations
16.
White, Andrew & J. Richard Landis. (1982). A general caxedorical data memddology for evaluating medical diagnostic tests. Communication in Statistics- Theory and Methods. 11(5). 567–605. 1 indexed citations
17.
Anderson, Robert J. & J. Richard Landis. (1980). Catanova for multidimensional contingency tables: Nominal-scale response. Communication in Statistics- Theory and Methods. 9(11). 1191–1206. 20 indexed citations
18.
Cornell, Richard G., et al.. (1980). The Michigan Ambulatory Medical Care Survey: results and utility relative to the National Survey.. PubMed. 95(4). 369–75. 2 indexed citations
19.
Landis, J. Richard & Gary G. Koch. (1977). The Measurement of Observer Agreement for Categorical Data. Biometrics. 33(1). 159–159. 60321 indexed citations breakdown →
20.
Landis, J. Richard. (1973). Curricular Modification for Secondary School Reading.. The Journal of Reading. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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