David M. Weiss

6.0k total citations · 1 hit paper
124 papers, 3.6k citations indexed

About

David M. Weiss is a scholar working on Information Systems, Artificial Intelligence and Software. According to data from OpenAlex, David M. Weiss has authored 124 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Information Systems, 34 papers in Artificial Intelligence and 22 papers in Software. Recurrent topics in David M. Weiss's work include Software Engineering Research (33 papers), Advanced Software Engineering Methodologies (30 papers) and Software Engineering Techniques and Practices (25 papers). David M. Weiss is often cited by papers focused on Software Engineering Research (33 papers), Advanced Software Engineering Methodologies (30 papers) and Software Engineering Techniques and Practices (25 papers). David M. Weiss collaborates with scholars based in United States, Germany and Bermuda. David M. Weiss's co-authors include Victor R. Basili, Audris Mockus, David Lorge Parnas, Paul Clements, Daniel Hoffman, James O. Coplien, Qian Yang, Jianzhao Li, Barbara L. Andersen and Mark A. Ardis and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

David M. Weiss

118 papers receiving 3.2k citations

Hit Papers

A Methodology for Collecting Valid Software Engineering Data 1984 2026 1998 2012 1984 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Weiss United States 26 2.3k 1.4k 1.1k 595 258 124 3.6k
Richard W. Selby United States 26 2.3k 1.0× 748 0.6× 1.5k 1.3× 486 0.8× 258 1.0× 78 4.2k
David Shepherd United States 27 896 0.4× 425 0.3× 336 0.3× 261 0.4× 296 1.1× 134 2.1k
Kenichi Matsumoto Japan 29 3.8k 1.7× 973 0.7× 2.3k 2.1× 1.1k 1.8× 694 2.7× 296 4.8k
Sai Peck Lee Malaysia 32 1.0k 0.4× 303 0.2× 425 0.4× 551 0.9× 27 0.1× 169 3.2k
Paolo Avesani Italy 23 1.3k 0.6× 1.1k 0.8× 129 0.1× 575 1.0× 54 0.2× 89 2.7k
Eduardo B. Fernández United States 31 2.2k 1.0× 1.3k 1.0× 199 0.2× 1.7k 2.8× 31 0.1× 313 4.5k
Antony Tang Australia 30 1.4k 0.6× 962 0.7× 280 0.2× 498 0.8× 167 0.6× 116 3.4k
Yang Chen China 30 675 0.3× 968 0.7× 46 0.0× 773 1.3× 63 0.2× 298 4.3k
Xuanzhe Liu China 33 1.5k 0.7× 1000 0.7× 138 0.1× 1.4k 2.4× 141 0.5× 184 3.4k
Carlos Lucena Brazil 23 1.5k 0.7× 1.4k 1.0× 440 0.4× 611 1.0× 179 0.7× 319 2.5k

Countries citing papers authored by David M. Weiss

Since Specialization
Citations

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

Fields of papers citing papers by David M. Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Weiss. 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 David M. Weiss. The network helps show where David M. Weiss may publish in the future.

Co-authorship network of co-authors of David M. Weiss

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Weiss. A scholar is included among the top collaborators of David M. Weiss 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 David M. Weiss. David M. Weiss 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.
Weiss, David M., Carrington Merritt, Corinne Cather, et al.. (2022). Clinical and psychosocial outcomes of Black Americans in the Recovery After an Initial Schizophrenia Episode Early Treatment Program (RAISE-ETP) study. Social Psychiatry and Psychiatric Epidemiology. 58(1). 77–89. 11 indexed citations
2.
Woyach, Jennifer A., James S. Blachly, Kerry A. Rogers, et al.. (2020). Acalabrutinib plus Obinutuzumab in Treatment-Naïve and Relapsed/Refractory Chronic Lymphocytic Leukemia. Cancer Discovery. 10(3). 394–405. 57 indexed citations
3.
Weiss, David M., et al.. (2020). Fast and reliable switching of parallel SiC MOSFET chips in a Halfbridge module. 1–8. 3 indexed citations
4.
Woyach, Jennifer A., James S. Blachly, Kerry A. Rogers, et al.. (2020). Acalabrutinib in Combination with Venetoclax and Obinutuzumab or Rituximab in Patients with Treatment-Naïve or Relapsed/Refractory Chronic Lymphocytic Leukemia. Blood. 136(Supplement 1). 16–18. 12 indexed citations
5.
Valentine, Thomas R, David M. Weiss, Jeffrey A. Jones, & Barbara L. Andersen. (2019). Construct validity of PROMIS® Cognitive Function in cancer patients and noncancer controls.. Health Psychology. 38(5). 351–358. 30 indexed citations
6.
Moe, Aubrey M., et al.. (2018). Improving access to specialized care for first-episode psychosis: an ecological model. Risk Management and Healthcare Policy. Volume 11. 127–138. 25 indexed citations
7.
Awan, Farrukh T., Shanmugapriya Thangavadivel, David M. Weiss, et al.. (2017). A Phase 2 Trial of Early Intervention with Ibrutinib in Patients with Asymptomatic, High-Risk CLL. Blood. 130. 1748–1748. 1 indexed citations
8.
Bentley, Joshua M., et al.. (2016). Teaching Integrated Marketing Communication Campaigns. 6(1). 18. 1 indexed citations
9.
Weiss, David M. & Hans-Günter Eckel. (2014). Potential of RC-IGBT in Full Size Converters for Wind Energy Application. 1–8. 4 indexed citations
10.
Weiss, David M., Ann P. Murchison, Lisa Hark, et al.. (2013). Comparing Opt-in Versus Opt-out Recruitment Strategies for Ophthalmology Research. Investigative Ophthalmology & Visual Science. 54(15). 2438–2438. 2 indexed citations
11.
Weiss, David M., et al.. (2010). Software Testing: Tools. 1178–1187. 3 indexed citations
12.
Weiss, David M., et al.. (2005). Increasing Access to Health Care: Examination of Hospital Community Benefits and Free Care Programs. Health & Social Work. 30(3). 213–220. 1 indexed citations
13.
Ellenbogen, J. M., et al.. (2005). Ventromedial frontal lobe trauma. Neurology. 64(4). 757–757. 17 indexed citations
14.
Klein, John P., et al.. (2003). Industrial-strength software product-line engineering. International Conference on Software Engineering. 751–752. 7 indexed citations
15.
Faraone, Stephen V., Andrew D. Skol, Debby W. Tsuang, et al.. (2002). Linkage of chromosome 13q32 to schizophrenia in a large veterans affairs cooperative study sample. American Journal of Medical Genetics. 114(6). 598–604. 27 indexed citations
16.
Knauber, Peter, et al.. (2001). Quantifying Product Line Benefits. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 5 indexed citations
17.
Parnas, David Lorge, Paul Clements, & David M. Weiss. (2001). The modular structure of complex systems. Addison-Wesley Longman Publishing Co., Inc. eBooks. 319–336. 21 indexed citations
18.
Parnas, David Lorge, Paul Clements, & David M. Weiss. (1984). The modular structure of complex systems. International Conference on Software Engineering. 408–417. 26 indexed citations
19.
Basili, Victor R. & David M. Weiss. (1981). Evaluation of a software requirements document by analysis of change data. International Conference on Software Engineering. 314–323. 61 indexed citations
20.
Basili, Victor R. & David M. Weiss. (1980). Evaluation of the A-7 Requirements Document by Analysis of Change Data.. Defense Technical Information Center (DTIC). 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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