Jacques Wainer

116 papers receiving 3.2k citations

Peers

Jacques Wainer
Comparison fields: 5 of 154
  • Management Information Systems 691
  • Statistics, Probability and Uncertainty 222
  • Radiology, Nuclear Medicine and Imaging 507
  • Signal Processing 157
  • Computer Vision and Pattern Recognition 336
Replace Danilo Caivano with:
Danilo Caivano Italy
Randall Wald United States
Siddhartha Bhattacharyya India
Andreas Nürnberger Germany
Myra Spiliopoulou Germany
Aytuğ Onan Türkiye
Jorge Bernardino Portugal
Amina Adadi Morocco
Lakhmi C. Jain Australia
Casimir A. Kulikowski United States
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Citations per year

Countries citing papers authored by Jacques Wainer

Since Specialization
Citations

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

Fields of papers citing papers by Jacques Wainer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacques Wainer. 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 Jacques Wainer. The network helps show where Jacques Wainer may publish in the future.

Co-authors

The 25 scholars most cited alongside Jacques Wainer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jacques Wainer Line = papers co-authored together Jacques Wainer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 123 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009245
2 2021207
3 1994150
4 2001135
5 2012124
6 2019122
7 2003121
8 2017113
9 201293
10 201484
11 200982
12 202177
13 200069
14 201767
15 200862
16 200558
17 201557
18 201355
19 201555
20 200953

About Jacques Wainer

Jacques Wainer is a scholar working on Management Information Systems, Artificial Intelligence, Statistics, Probability and Uncertainty, Health Information Management and Radiology, Nuclear Medicine and Imaging, having authored 123 papers that have together received 3.4k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (24 papers), scientometrics and bibliometrics research (13 papers), Retinal Imaging and Analysis (12 papers), Logic, Reasoning, and Knowledge (11 papers), Artificial Intelligence in Healthcare (9 papers), Machine Learning and Data Classification (6 papers), AI-based Problem Solving and Planning (5 papers) and Clinical Reasoning and Diagnostic Skills (5 papers). The work is most often cited by research in Management Information Systems (691 citations), Statistics, Probability and Uncertainty (222 citations), Radiology, Nuclear Medicine and Imaging (507 citations), Signal Processing (157 citations) and Computer Vision and Pattern Recognition (336 citations). Jacques Wainer has collaborated with scholars based in Brazil, United States and Australia. Frequent co-authors include Anderson De Rezende Rocha, Clarence A. Ellis, Paulo Barthelmess, Gavin C. Cawley, Siome Klein Goldenstein, Akhil Kumar, Herbert Franz Jelinek, Wil M. P. van der Aalst, Ramon Pires and Daniel Cabrini Hauagge. Their work appears in journals such as International Journal of Cooperative Information Systems, PLoS ONE, Scientometrics, Expert Systems with Applications and Artificial Intelligence in Medicine.

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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