Ashish Sureka

2.7k citations
114 papers · 1.3k indexed · h-index 19

Impact in

Papers in

Ashish Sureka

108 papers receiving 1.2k citations

Peers

Ashish Sureka
Comparison fields: 5 of 81
  • Software 317
  • Computer Science Applications 253
  • Information Systems 894
  • Management Information Systems 115
  • Computer Networks and Communications 277
Replace Eric Knauss with:
Eric Knauss Sweden
Davide Falessi United States
Yang Feng China
Hossein Saiedian United States
Martin Glinz Switzerland
Fabiano Dalpiaz Netherlands
Hironori Washizaki Japan
Michael Fagan United States
Wasif Afzal Sweden
Sajjad Mahmood Saudi Arabia
Ashish Sureka relative to Eric Knauss Sweden Eric Knauss's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ashish Sureka

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Sureka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ashish Sureka, 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 Ashish Sureka Line = papers co-authored together Ashish Sureka links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20189
3 20182
4 20180
5 20182
6 20185
7 20175
8 20178
9 20166
10 201612
11 20154
12 20156
13 201515
14
A Case Study on Teaching Software Engineering Concepts using a Case-Based Learning Environment.
20159
15 20156
16 201411
17 201428
18 201355
19 201212
20 201122

About Ashish Sureka

Ashish Sureka is a scholar working on Software, Computer Science Applications, Information Systems, Management Information Systems and Computer Networks and Communications, having authored 114 papers that have together received 1.3k indexed citations. Recurring topics across this work include Software Engineering Research (54 papers), Software System Performance and Reliability (27 papers), Software Engineering Techniques and Practices (21 papers), Software Reliability and Analysis Research (17 papers), Topic Modeling (11 papers), Open Source Software Innovations (11 papers), Business Process Modeling and Analysis (11 papers) and Spam and Phishing Detection (10 papers). The work is most often cited by research in Software (317 citations), Computer Science Applications (253 citations), Information Systems (894 citations), Management Information Systems (115 citations) and Computer Networks and Communications (277 citations). Ashish Sureka has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include Denzil Correa, Lov Kumar, Pankaj Jalote, Swati Agarwal, Santanu Kumar Rath, Monika Gupta, Ayushi Rastogi, Peter R. Wurman, Neetu Sardana and Srinivas Padmanabhuni. Their work appears in journals such as Journal of Systems and Software, Journal of King Saud University - Computer and Information Sciences, International Journal of Systems Assurance Engineering and Management, International Journal of Product Development and Lecture notes in computer science.

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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