Anupriya Ankolekar

26 papers receiving 2.1k citations

Hit Papers

DAML-S: semantic markup for web services2001202620092017200150010001.5k

Peers

Anupriya Ankolekar
Comparison fields: 5 of 81
  • Information Systems 2.0k
  • Artificial Intelligence 1.5k
  • Computer Networks and Communications 815
  • Management Information Systems 683
  • Computer Vision and Pattern Recognition 211
Replace Mark Burstein with:
Mark Burstein United States
Terry R. Payne United Kingdom
Honglei Zeng United States
Henry Chang United States
Harumi Kuno United States
Francisco Curbera United States
Michael Sintek Germany
Andrea Omicini Italy
Cesare Pautasso Switzerland
Vijay Machiraju United States
Anupriya Ankolekar relative to Mark Burstein United States Mark Burstein's profile →
Citations per field
00.5×1.5×2.5×
Mark Burstein · 1×
Citations per year

Countries citing papers authored by Anupriya Ankolekar

Since Specialization
Citations

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

Fields of papers citing papers by Anupriya Ankolekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupriya Ankolekar

This figure shows the co-authorship network connecting the top 25 collaborators of Anupriya Ankolekar. A scholar is included among the top collaborators of Anupriya Ankolekar 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 Anupriya Ankolekar. Anupriya Ankolekar 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
#WorkIndexed citations
1 7
2 18
3 1
4 15
5 34
6 21
7 6
8 5
9
Automated Selection of Configurable Web Services.
0
10 70
11 10
12
Integrating Semantic Web Services for Mobile Access
2
13 16
14 48
15 4
16
SmartWeb: Mobile Access to the Semantic Web
3
17 25
18
Spinning the OWL-S Process Model - Toward the Verification of the OWL-S Process Models.
9
19 9
20
DAML-S: semantic markup for web servicesbreakdown →
1511

About Anupriya Ankolekar

Anupriya Ankolekar is a scholar working on Information Systems, Management Information Systems and Artificial Intelligence, having authored 28 papers that have together received 2.4k indexed citations. Recurring topics across this work include Service-Oriented Architecture and Web Services (18 papers), Semantic Web and Ontologies (17 papers) and Business Process Modeling and Analysis (6 papers). The work is most often cited by research in Information Systems (2.0k citations), Management Information Systems (683 citations) and Artificial Intelligence (1.5k citations). Anupriya Ankolekar has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Katia Sycara, Massimo Paolucci, Srini Narayanan, Honglei Zeng, Mark Burstein, David L. Martin, Sheila A. McIlraith, Ora Lassila, Jerry R. Hobbs and Terry R. Payne. Their work appears in journals such as Journal of the Association for Information Systems, IEEE Intelligent Systems and Electronic Commerce Research and Applications.

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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