Deepthi Chander

26 papers receiving 357 citations

Peers

Deepthi Chander
Comparison fields: 5 of 46
  • Computer Science Applications 150
  • Transportation 106
  • Ocean Engineering 119
  • Computer Networks and Communications 141
  • Marketing 27
Replace Krešimir Pripužić with:
Krešimir Pripužić Croatia
Idalides Vergara-Laurens United States
Juong-Sik Lee United States
Kashif Ali Canada
Péter Boda Finland
Sherin M. Moussa Egypt
Tianshu Song China
Arnaud Doniec France
Conor Muldoon Ireland
Luca Calderoni Italy
Deepthi Chander relative to Krešimir Pripužić Croatia Krešimir Pripužić's profile →
Citations per field
00.5×8.5×
Krešimir Pripužić · 1×
Citations per year

Countries citing papers authored by Deepthi Chander

Since Specialization
Citations

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

Fields of papers citing papers by Deepthi Chander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201062
2 201448
3 201645
4 201635
5 200835
6 200726
7 201626
8
TRACCS: Trajectory-Aware Coordinated Urban Crowd-Sourcing
201423
9 201814
10 201411
11 20087
12 20157
13 20076
14 20096
15 20155
16 20085
17 20155
18 20112
19 20152
20 20152

About Deepthi Chander

Deepthi Chander is a scholar working on Computer Science Applications, Computer Networks and Communications, Transportation, Electrical and Electronic Engineering and Artificial Intelligence, having authored 31 papers that have together received 379 indexed citations. Recurring topics across this work include Mobile Crowdsensing and Crowdsourcing (14 papers), Energy Efficient Wireless Sensor Networks (11 papers), Human Mobility and Location-Based Analysis (10 papers), Energy Harvesting in Wireless Networks (5 papers), Auction Theory and Applications (4 papers), Opportunistic and Delay-Tolerant Networks (4 papers), Mobile Ad Hoc Networks (4 papers) and Underwater Vehicles and Communication Systems (3 papers). The work is most often cited by research in Computer Science Applications (150 citations), Transportation (106 citations), Ocean Engineering (119 citations), Computer Networks and Communications (141 citations) and Marketing (27 citations). Deepthi Chander has collaborated with scholars based in India, Singapore and Switzerland. Frequent co-authors include Koustuv Dasgupta, S. N. Merchant, U.B. Desai, Archan Misra, Shih-Fen Cheng, Cen Chen, Kannan Govindan, Aldy Gunawan, Hoong Chuin Lau and Cen Chen. Their work appears in journals such as EURASIP Journal on Wireless Communications and Networking, ACM Transactions on Sensor Networks, Wireless Personal Communications, IEEE Transactions on Wireless Communications and Wireless Communications and Mobile Computing.

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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