Robert W. Schwanke

36 total papers · 927 total citations
27 papers, 666 citations indexed

About

Robert W. Schwanke is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Robert W. Schwanke has authored 27 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 18 papers in Artificial Intelligence and 4 papers in Computer Networks and Communications. Recurrent topics in Robert W. Schwanke's work include Software Engineering Research (15 papers), Advanced Software Engineering Methodologies (12 papers) and Software Engineering Techniques and Practices (6 papers). Robert W. Schwanke is often cited by papers focused on Software Engineering Research (15 papers), Advanced Software Engineering Methodologies (12 papers) and Software Engineering Techniques and Practices (6 papers). Robert W. Schwanke collaborates with scholars based in United States and Germany. Robert W. Schwanke's co-authors include Gail E. Kaiser, Stephen José Hanson, Naser S. Barghouti, Peter H. Feiler, Lu Xiao, Yuanfang Cai, Dilip Soni, Robyn R. Lutz, Michael Montagne and David Scott and has published in prestigious journals such as Machine Learning, ACM SIGPLAN Notices and ACM Transactions on Programming Languages and Systems.

In The Last Decade

Robert W. Schwanke

24 papers receiving 592 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Robert W. Schwanke 548 419 261 219 42 27 666
Amy Moormann Zaremski 593 1.1× 539 1.3× 197 0.8× 174 0.8× 61 1.5× 11 729
Evan H. Magill 407 0.7× 338 0.8× 313 1.2× 134 0.6× 36 0.9× 38 673
Guillermo Arango 394 0.7× 336 0.8× 106 0.4× 182 0.8× 68 1.6× 23 569
Cecília M. F. Rubira 484 0.9× 522 1.2× 371 1.4× 209 1.0× 24 0.6× 70 754
Jörg Niere 456 0.8× 451 1.1× 116 0.4× 402 1.8× 48 1.1× 23 693
Paulo Anselmo da Mota Silveira Neto 555 1.0× 342 0.8× 176 0.7× 246 1.1× 42 1.0× 37 760
James M. Neighbors 467 0.9× 464 1.1× 139 0.5× 202 0.9× 49 1.2× 19 620
Sotirios Liaskos 579 1.1× 612 1.5× 210 0.8× 198 0.9× 60 1.4× 33 767
S. Jeromy Carrière 504 0.9× 384 0.9× 219 0.8× 105 0.5× 33 0.8× 11 587
Eric M. Dashofy 495 0.9× 580 1.4× 371 1.4× 141 0.6× 31 0.7× 17 667

Countries citing papers authored by Robert W. Schwanke

Since Specialization
Citations

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

Fields of papers citing papers by Robert W. Schwanke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert W. Schwanke. 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 Robert W. Schwanke. The network helps show where Robert W. Schwanke may publish in the future.

Co-authorship network of co-authors of Robert W. Schwanke

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

All Works

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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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