Arun Iyer

462 total citations
13 papers, 247 citations indexed

About

Arun Iyer is a scholar working on Artificial Intelligence, Information Systems and Software. According to data from OpenAlex, Arun Iyer has authored 13 papers receiving a total of 247 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 5 papers in Information Systems and 2 papers in Software. Recurrent topics in Arun Iyer's work include Web Data Mining and Analysis (4 papers), Topic Modeling (3 papers) and Machine Learning and Algorithms (2 papers). Arun Iyer is often cited by papers focused on Web Data Mining and Analysis (4 papers), Topic Modeling (3 papers) and Machine Learning and Algorithms (2 papers). Arun Iyer collaborates with scholars based in India, United States and Spain. Arun Iyer's co-authors include Sriram K. Rajamani, Sunita Sarawagi, Rahul Sharma, Nagarajan Natarajan, Naman Jain, Sundararajan Sellamanickam, Srujana Merugu, Philip Bohannon, Ashwin Machanavajjhala and Ankur Jain and has published in prestigious journals such as International Journal of Production Economics, ACM SIGMOD Record and International Conference on Machine Learning.

In The Last Decade

Arun Iyer

12 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arun Iyer India 7 151 107 42 38 30 13 247
Seyed Mostafa Fakhrahmad Iran 11 246 1.6× 148 1.4× 23 0.5× 37 1.0× 21 0.7× 64 360
Zeqi Lin China 12 184 1.2× 172 1.6× 72 1.7× 58 1.5× 40 1.3× 24 320
Carlos R. Rivero United States 10 188 1.2× 146 1.4× 28 0.7× 54 1.4× 45 1.5× 38 283
Markus Triska Austria 6 130 0.9× 48 0.4× 30 0.7× 55 1.4× 24 0.8× 8 211
Pavlos Kefalas Greece 11 235 1.6× 309 2.9× 34 0.8× 56 1.5× 38 1.3× 19 420
Chad Cumby Switzerland 10 186 1.2× 164 1.5× 39 0.9× 35 0.9× 17 0.6× 11 308
Grégory Nain Luxembourg 7 150 1.0× 139 1.3× 32 0.8× 109 2.9× 28 0.9× 18 229
Elder Cirilo Brazil 10 137 0.9× 224 2.1× 87 2.1× 117 3.1× 20 0.7× 40 286
Dietmar Seipel Germany 8 186 1.2× 125 1.2× 66 1.6× 39 1.0× 14 0.5× 60 291
Yaniv Eytani Israel 9 151 1.0× 145 1.4× 123 2.9× 87 2.3× 15 0.5× 17 308

Countries citing papers authored by Arun Iyer

Since Specialization
Citations

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

Fields of papers citing papers by Arun Iyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arun Iyer

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

All Works

13 of 13 papers shown
1.
Kanade, Aditya, et al.. (2024). CodePlan: Repository-Level Coding using LLMs and Planning. Proceedings of the ACM on software engineering.. 1(FSE). 675–698. 20 indexed citations
4.
Iyer, Arun, et al.. (2022). Landmarks and regions: a robust approach to data extraction. 993–1009. 1 indexed citations
5.
Jain, Naman, et al.. (2022). Jigsaw. 1219–1231. 91 indexed citations
6.
Sellamanickam, Sundararajan, et al.. (2021). HeteGCN. 860–868. 51 indexed citations
7.
Iyer, Arun, et al.. (2019). Synthesis and machine learning for heterogeneous extraction. 301–315. 6 indexed citations
8.
Iyer, Arun, et al.. (2016). Privacy-preserving Class Ratio Estimation. 925–934. 5 indexed citations
9.
Iyer, Arun, et al.. (2014). Maximum Mean Discrepancy for Class Ratio Estimation: Convergence Bounds and Kernel Selection. International Conference on Machine Learning. 530–538. 30 indexed citations
10.
Iyer, Arun, et al.. (2012). Active Evaluation of Classifiers on Large Datasets. 329–338. 9 indexed citations
11.
Machanavajjhala, Ashwin, Arun Iyer, Philip Bohannon, & Srujana Merugu. (2011). Collective extraction from heterogeneous web lists. 445–454. 11 indexed citations
12.
Bohannon, Philip, Srujana Merugu, Cong Yu, et al.. (2009). Purple SOX extraction management system. ACM SIGMOD Record. 37(4). 21–27. 18 indexed citations
13.
Iyer, Arun, et al.. (1996). What difference does your industry make?. International Journal of Production Economics. 43(2-3). 155–174. 4 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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