Sagar Joglekar

22 papers receiving 249 citations

Peers

Sagar Joglekar
Comparison fields: 5 of 83
  • Communication 42
  • Transportation 29
  • Software 11
  • Human-Computer Interaction 12
  • Artificial Intelligence 64
Replace Sanja Šćepanović with:
Sanja Šćepanović United Kingdom
Paolo Ciuccarelli Italy
Fredrik Johansson Sweden
Rémi Rampin United States
Hyunggu Jung South Korea
Matthew T. McMahon United States
Felix Beierle Germany
Andrea Cuttone Denmark
Naohiro Matsumura Japan
Ana Paula Afonso Portugal
Sagar Joglekar relative to Sanja Šćepanović United Kingdom Sanja Šćepanović's profile →
Citations per field
00.5×5.5×
Sanja Šćepanović · 1×
Citations per year

Countries citing papers authored by Sagar Joglekar

Since Specialization
Citations

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

Fields of papers citing papers by Sagar Joglekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201948
2 201830
3 202127
4 202121
5 202018
6 202113
7 201812
8 202110
9 201910
10 201210
11 20209
12 20178
13 20228
14 20207
15 20215
16 20224
17 20224
18 20223
19 20232
20 20122

About Sagar Joglekar

Sagar Joglekar is a scholar working on Artificial Intelligence, Communication, Computer Vision and Pattern Recognition, Transportation and Sociology and Political Science, having authored 22 papers that have together received 254 indexed citations. Recurring topics across this work include Hate Speech and Cyberbullying Detection (5 papers), Social Media and Politics (4 papers), Human Mobility and Location-Based Analysis (3 papers), Impact of Light on Environment and Health (3 papers), Data Visualization and Analytics (2 papers), Urban Transport and Accessibility (2 papers), Advanced Steganography and Watermarking Techniques (2 papers) and Media Influence and Health (2 papers). The work is most often cited by research in Communication (42 citations), Transportation (29 citations), Software (11 citations), Human-Computer Interaction (12 citations) and Artificial Intelligence (64 citations). Sagar Joglekar has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Daniele Quercia, Nishanth Sastry, Sanja Šćepanović, Marios Constantinides, Luca Maria Aiello, Gareth Tyson, Aravindh Raman, Emiliano De Cristofaro, Ke Zhou and Stephen Law. Their work appears in journals such as EPJ Data Science, IEEE Pervasive Computing, Journal of Medical Internet Research, Multimedia Tools and Applications and Humanities and Social Sciences Communications.

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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