Swaroop Vattam

2.2k total citations
40 papers, 1.2k citations indexed

About

Swaroop Vattam is a scholar working on Mechanical Engineering, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Swaroop Vattam has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Mechanical Engineering, 12 papers in Artificial Intelligence and 8 papers in Developmental and Educational Psychology. Recurrent topics in Swaroop Vattam's work include Design Education and Practice (20 papers), Innovative Teaching and Learning Methods (6 papers) and AI-based Problem Solving and Planning (5 papers). Swaroop Vattam is often cited by papers focused on Design Education and Practice (20 papers), Innovative Teaching and Learning Methods (6 papers) and AI-based Problem Solving and Planning (5 papers). Swaroop Vattam collaborates with scholars based in United States. Swaroop Vattam's co-authors include Ashok K. Goel, Michael Helms, Spencer Rugaber, Bryan Wiltgen, Steven Gray, Janet L. Kolodner, Cindy E. Hmelo‐Silver, Rebecca Jordan, Khaled Rasheed and Jeannette Yen and has published in prestigious journals such as Cognitive Science, Computer-Aided Design and Design Studies.

In The Last Decade

Swaroop Vattam

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Swaroop Vattam United States 15 776 215 194 177 166 40 1.2k
Kathryn Jablokow United States 21 607 0.8× 328 1.5× 182 0.9× 118 0.7× 81 0.5× 127 1.6k
Saeema Ahmed‐Kristensen Denmark 18 813 1.0× 291 1.4× 415 2.1× 310 1.8× 172 1.0× 112 1.4k
Katherine Fu United States 17 1.1k 1.4× 535 2.5× 429 2.2× 195 1.1× 131 0.8× 74 1.6k
Ken M. Wallace United Kingdom 13 563 0.7× 138 0.6× 291 1.5× 230 1.3× 160 1.0× 30 840
Thomas F. Stahovich United States 22 293 0.4× 46 0.2× 150 0.8× 187 1.1× 220 1.3× 83 1.5k
Michael Helms United States 11 662 0.9× 192 0.9× 132 0.7× 108 0.6× 31 0.2× 38 868
Seda Yılmaz United States 16 850 1.1× 538 2.5× 225 1.2× 78 0.4× 22 0.1× 43 1.1k
Robert Nagel United States 19 524 0.7× 78 0.4× 179 0.9× 153 0.9× 38 0.2× 104 1.1k
Udo Kannengiesser Austria 14 758 1.0× 216 1.0× 477 2.5× 410 2.3× 155 0.9× 53 1.3k
David G. Ullman United States 17 773 1.0× 189 0.9× 409 2.1× 334 1.9× 124 0.7× 39 1.2k

Countries citing papers authored by Swaroop Vattam

Since Specialization
Citations

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

Fields of papers citing papers by Swaroop Vattam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swaroop Vattam

This figure shows the co-authorship network connecting the top 25 collaborators of Swaroop Vattam. A scholar is included among the top collaborators of Swaroop Vattam 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 Swaroop Vattam. Swaroop Vattam 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.
Vattam, Swaroop, et al.. (2024). A Testbed for Operations in the Information Environment. 83–90.
2.
Torres‐Carrasquillo, Pedro A., Fred Richardson, Douglas Sturim, et al.. (2017). The MIT-LL, JHU and LRDE NIST 2016 Speaker Recognition Evaluation System. 1333–1337. 9 indexed citations
3.
Vattam, Swaroop, David W. Aha, & Michael W. Floyd. (2015). Error Tolerant Plan Recognition: An Empirical Investigation. The Florida AI Research Society. 397–403. 1 indexed citations
4.
Vattam, Swaroop, et al.. (2015). Increasing the Runtime Speed of Case-Based Plan Recognition. The Florida AI Research Society. 385–390. 2 indexed citations
5.
Goel, Ashok K., et al.. (2015). On the benefits of digital libraries of case studies of analogical design: Documentation, access, analysis, and learning. Artificial intelligence for engineering design analysis and manufacturing. 29(2). 215–227. 13 indexed citations
6.
Vattam, Swaroop & Ashok K. Goel. (2013). An Information Foraging Model of Interactive Analogical Retrieval. Cognitive Science. 35(35). 2 indexed citations
7.
Vattam, Swaroop, Matthew Klenk, Matthew Molineaux, & David W. Aha. (2013). Breadth of Approaches to Goal Reasoning: A Research Survey. 21 indexed citations
8.
Goel, Ashok K., Bert Bras, Michael Helms, et al.. (2011). Design Patterns and Cross-Domain Analogies in Biologically Inspired Sustainable Design. National Conference on Artificial Intelligence. 6 indexed citations
9.
Vattam, Swaroop, Ashok K. Goel, Spencer Rugaber, et al.. (2011). Understanding Complex Natural Systems by Articulating Structure-Behavior- Function Models. Educational Technology & Society. 14(1). 66–81. 84 indexed citations
10.
Vattam, Swaroop & Ashok K. Goel. (2011). Model-based Tagging: Promoting Access to Online Texts on Complex Systems for Interdisciplinary Learning. 14. 375–377. 1 indexed citations
11.
Hmelo‐Silver, Cindy E., Rebecca Jordan, Catherine Eberbach, et al.. (2010). Connecting the Visible to the Invisible: Helping Middle School Students Understand Complex Ecosystem Processes.. eScholarship (California Digital Library). 32(32). 5 indexed citations
12.
Yen, Jeannette, Michael Helms, Swaroop Vattam, & Ashok K. Goel. (2010). Evaluating Biological Systems for Their Potential in Engineering Design. 3(2). 27–40. 15 indexed citations
13.
Sinha, Suparna, Steven Gray, Cindy E. Hmelo‐Silver, et al.. (2010). Appropriating conceptual representations: a case of transfer in a middle school science teacher. International Conference of Learning Sciences. 834–841. 5 indexed citations
14.
Goel, Ashok K., Swaroop Vattam, Spencer Rugaber, et al.. (2010). Learning Functional and Causal Abstractions of Classroom Aquaria. eScholarship (California Digital Library). 32(32). 2 indexed citations
15.
Vattam, Swaroop, Michael Helms, & Ashok K. Goel. (2009). Nature of creative analogies in biologically inspired innovative design. 255–264. 28 indexed citations
16.
Vattam, Swaroop, et al.. (2008). Compound Analogical Design, Or How to Make a Surfboard Disappear. eScholarship (California Digital Library). 30(30). 3 indexed citations
17.
Hmelo‐Silver, Cindy E., Rebecca Jordan, Lei Liu, et al.. (2008). Focusing on Function: Thinking below the Surface of Complex Natural Systems.. 31(9). 27–35. 26 indexed citations
18.
Vattam, Swaroop, Michael Helms, Ashok K. Goel, Jeannette Yen, & Marc J. Weissburg. (2008). Learning About and Through Biologically Inspired Design. SMARTech Repository (Georgia Institute of Technology). 5 indexed citations
19.
Vattam, Swaroop & Janet L. Kolodner. (2006). Design-based science learning: important challenges and how technology can make a difference. International Conference of Learning Sciences. 799–805. 8 indexed citations
20.
Rasheed, Khaled, Swaroop Vattam, & Xiao Ni. (2002). Comparison of methods for using reduced models to speed up design optimization. 1180–1187. 22 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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