A. Ranganathan

2.3k citations
19 papers · 1.4k indexed · 1 hit paper · h-index 14

Impact in

Papers in

A. Ranganathan

18 papers receiving 1.2k citations

Hit Papers

A middleware infrastructure for active spaces 2002 · 670 citations
6702002202620102018200400600

Peers

A. Ranganathan
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 948
  • Computer Networks and Communications 908
  • Information Systems 380
  • Human-Computer Interaction 88
  • Information Systems and Management 94
Replace Manuel Román with:
Manuel Román United States
Filip Perich United States
Dongman Lee South Korea
Volker Hilt Germany
Ryan Shea Canada
Colin Dixon United States
Gregor Schiele Germany
Sandeep K. Singhal United States
Maximilian Ott Australia
Karan Mitra Sweden
A. Ranganathan relative to Manuel Román United States Manuel Román's profile →
Citations per field
00.5×
Manuel Román · 1×
Citations per year

Countries citing papers authored by A. Ranganathan

Since Specialization
Citations

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

Fields of papers citing papers by A. Ranganathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside A. Ranganathan, 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 A. Ranganathan Line = papers co-authored together A. Ranganathan links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
A middleware infrastructure for active spaces
Hit paper breakdown →
2002670
2 2004182
3 200493
4 200272
5 200571
6 200242
7 200437
8 200337
9 200430
10 200524
11 200422
12 200422
13 200214
14 200413
15 200312
16 200410
17 20043
18 20052
19 20250

About A. Ranganathan

A. Ranganathan is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems, Artificial Intelligence and Signal Processing, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), Distributed systems and fault tolerance (6 papers), IoT and Edge/Fog Computing (4 papers), Service-Oriented Architecture and Web Services (3 papers), Data Management and Algorithms (2 papers), Robotics and Automated Systems (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers) and Mobile Agent-Based Network Management (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (948 citations), Computer Networks and Communications (908 citations), Information Systems (380 citations), Human-Computer Interaction (88 citations) and Information Systems and Management (94 citations). A. Ranganathan has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Roy H. Campbell, Jalal Al‐Muhtadi, Christopher K. Hess, Klara Nahrstedt, Manuel Román, R. Cerqueira, M. Dennis Mickunas, Aditya Mahajan, Hui Lei and Kevin Beyer. Their work appears in journals such as IEEE Pervasive Computing, Computer and IEEE Distributed Systems Online.

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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