Nagaraj K. Neerchal

1.9k total citations
45 papers, 1.5k citations indexed

About

Nagaraj K. Neerchal is a scholar working on Statistics and Probability, Small Animals and Artificial Intelligence. According to data from OpenAlex, Nagaraj K. Neerchal has authored 45 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Statistics and Probability, 8 papers in Small Animals and 8 papers in Artificial Intelligence. Recurrent topics in Nagaraj K. Neerchal's work include Statistical Methods and Bayesian Inference (13 papers), Bayesian Methods and Mixture Models (8 papers) and Animal Behavior and Welfare Studies (8 papers). Nagaraj K. Neerchal is often cited by papers focused on Statistical Methods and Bayesian Inference (13 papers), Bayesian Methods and Mixture Models (8 papers) and Animal Behavior and Welfare Studies (8 papers). Nagaraj K. Neerchal collaborates with scholars based in United States, Canada and Slovenia. Nagaraj K. Neerchal's co-authors include Ian D. Yesilonis, Rich Pouyat, Jorge G. Morel, Jonathan Russell‐Anelli, Uri Tasch, P.G. Rajkondawar, Robert A. Dyer, Steven P. Millard, Udaya S. Tantry and Kevin P. Bliden and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and Gastroenterology.

In The Last Decade

Nagaraj K. Neerchal

41 papers receiving 1.4k citations

Peers

Nagaraj K. Neerchal

CCM

POLLU

ASZ

GPC

Lluís Jover Spain

Werner Wosniok Germany

Aysha Akhtar Bangladesh

Keiko Saito Japan

D. Scott United Kingdom

Edward G. Hughes Canada

Laurence D. Reed United States

Graeme L. Hickey United Kingdom

Signe Marie Jensen Denmark

Ruyang Zhang China

Lluís Jover Spain

Nagaraj K. Neerchal

192 ×0.7

CCM

16 ×0.1

292 ×1.4

POLLU

44 ×0.2

ASZ

507 ×3.2

GPC

Citations per year, relative to Nagaraj K. Neerchal Nagaraj K. Neerchal (= 1×) peers Lluís Jover

Countries citing papers authored by Nagaraj K. Neerchal

Since Specialization

Citations

This map shows the geographic impact of Nagaraj K. Neerchal'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 Nagaraj K. Neerchal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nagaraj K. Neerchal more than expected).

Fields of papers citing papers by Nagaraj K. Neerchal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nagaraj K. Neerchal. 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 Nagaraj K. Neerchal. The network helps show where Nagaraj K. Neerchal may publish in the future.

Co-authorship network of co-authors of Nagaraj K. Neerchal

This figure shows the co-authorship network connecting the top 25 collaborators of Nagaraj K. Neerchal. A scholar is included among the top collaborators of Nagaraj K. Neerchal 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 Nagaraj K. Neerchal. Nagaraj K. Neerchal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Moyer, Michelle M., et al.. (2024). Sex-specific responses to simulated territorial intrusions provide evidence for relaxed selection pressure on female song in Orchard Orioles. Journal of Field Ornithology. 95(3). 2 indexed citations

Dreizin, David, Uttam K. Bodanapally, Nagaraj K. Neerchal, et al.. (2016). Volumetric analysis of pelvic hematomas after blunt trauma using semi-automated seeded region growing segmentation: a method validation study. Abdominal Radiology. 41(11). 2203–2208. 23 indexed citations

Dyer, Robert A., et al.. (2015). Predictive models of lameness in dairy cows achieve high sensitivity and specificity with force measurements in three dimensions. Journal of Dairy Research. 82(4). 391–399. 16 indexed citations

Morel, Jorge G. & Nagaraj K. Neerchal. (2012). Overdispersion Models in SAS. 20 indexed citations

Neerchal, Nagaraj K., et al.. (2011). Modeling bovine lameness with limb movement variables. Journal of Biomedical Science and Engineering. 4(6). 419–425. 2 indexed citations

Liu, Jianbo, Robert A. Dyer, Nagaraj K. Neerchal, Uri Tasch, & P.G. Rajkondawar. (2011). Diversity in the magnitude of hind limb unloading occurs with similar forms of lameness in dairy cows. Journal of Dairy Research. 78(2). 168–177. 24 indexed citations

Ivancik, Juliana, Nagaraj K. Neerchal, Elaine Romberg, & Dwayne Arola. (2011). The Reduction in Fatigue Crack Growth Resistance of Dentin with Depth. Journal of Dental Research. 90(8). 1031–1036. 42 indexed citations

Didolkar, Mukund S., et al.. (2010). Image-Guided Stereotactic Radiosurgery for Locally Advanced Pancreatic Adenocarcinoma Results of First 85 Patients. Journal of Gastrointestinal Surgery. 14(10). 1547–1559. 85 indexed citations

Tang, Wenlong, et al.. (2010). Locomotion analysis of Sprague–Dawley rats before and after injecting 6-OHDA. Behavioural Brain Research. 210(1). 131–133. 7 indexed citations

10.

Didolkar, Mukund S., et al.. (2010). 317 Image-Guided Stereotactic Radiosurgery for Locally Advanced Pancreatic Adenocarcinoma Results of First 85 Patients. Gastroenterology. 138(5). S–850. 10 indexed citations

11.

Tang, Wenlong, Richard M. Lovering, Joseph A. Roche, et al.. (2009). Gait analysis of locomotory impairment in rats before and after neuromuscular injury. Journal of Neuroscience Methods. 181(2). 249–256. 8 indexed citations

12.

Neerchal, Nagaraj K., et al.. (2009). Enhancing the prediction accuracy of bovine lameness models through transformations of limb movement variables. Journal of Dairy Science. 92(6). 2539–2550. 22 indexed citations

13.

Tang, Wenlong, Uri Tasch, Nagaraj K. Neerchal, Liang Zhu, & Paul Yarowsky. (2008). Measuring early pre-symptomatic changes in locomotion of SOD1-G93A rats—A rodent model of amyotrophic lateral sclerosis. Journal of Neuroscience Methods. 176(2). 254–262. 11 indexed citations

14.

Yesilonis, Ian D., Rich Pouyat, & Nagaraj K. Neerchal. (2008). Spatial distribution of metals in soils in Baltimore, Maryland: Role of native parent material, proximity to major roads, housing age and screening guidelines. Environmental Pollution. 156(3). 723–731. 150 indexed citations

15.

Dyer, Robert A., et al.. (2007). Objective Determination of Claw Pain and Its Relationship to Limb Locomotion Score in Dairy Cattle. Journal of Dairy Science. 90(10). 4592–4602. 80 indexed citations

16.

Sutradhar, Santosh, Nagaraj K. Neerchal, & Jorge G. Morel. (2007). A goodness-of-fit test for overdispersed binomial (or multinomial) models. Journal of Statistical Planning and Inference. 138(5). 1459–1471. 2 indexed citations

17.

Rajkondawar, P.G., Robert A. Dyer, Nagaraj K. Neerchal, et al.. (2006). Comparison of Models to Identify Lame Cows Based on Gait and Lesion Scores, and Limb Movement Variables. Journal of Dairy Science. 89(11). 4267–4275. 59 indexed citations

18.

Neerchal, Nagaraj K. & Jorge G. Morel. (2004). An improved method for the computation of maximum likeliood estimates for multinomial overdispersion models. Computational Statistics & Data Analysis. 49(1). 33–43. 16 indexed citations

19.

Morel, Jorge G. & Nagaraj K. Neerchal. (1997). Clustered binary logistic regression in teratology data using a finite mixture distribution. Statistics in Medicine. 16(24). 2843–2853. 6 indexed citations

20.

Neerchal, Nagaraj K., et al.. (1970). Statistical Method For Measuring DORestoration Goals By Combining MonitoringStation And Buoy Data. WIT Transactions on Ecology and the Environment. 5.

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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