R. Guha
Impact in
- Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Information Systems top 0.5%
- Web Data Mining and Analysis
- Spam and Phishing Detection
- Service-Oriented Architecture and Web Services
Papers in
-
- Semantic Web and Ontologies 10
- AI-based Problem Solving and Planning 2
- Logic, Reasoning, and Knowledge 2
-
- Advanced Database Systems and Queries 4
- Peer-to-Peer Network Technologies 2
- Co-authors
- Andrew Tomkins (7 shared papers)Daniel Gruhl (5 shared papers)David Liben‐Nowell (2 shared papers)Prabhakar Raghavan (1 shared paper)Ravi Kumar (1 shared paper)Rob McCool (3 shared papers)Éric Miller (1 shared paper)Douglas B. Lenat (6 shared papers)
- Journals
- Communications of the ACM (2 papers)Computer Networks (1 paper)Applied Artificial Intelligence (1 paper)Journal of Web Semantics (1 paper)Artificial Intelligence (1 paper)
- Partner nations
- United States
In The Last Decade
R. Guha
16 papers receiving 3.2k citations
R. Guha's Hit Papers
Peers
Comparison fields: 5 of 97
- Statistical and Nonlinear Physics 1.4k
- Information Systems 1.4k
- Artificial Intelligence 2.0k
- Communication 287
- Computer Networks and Communications 789
Countries citing papers authored by R. Guha
This map shows the geographic impact of R. Guha'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 R. Guha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Guha more than expected).
Fields of papers citing papers by R. Guha
This network shows the impact of papers produced by R. Guha. 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 R. Guha. The network helps show where R. Guha may publish in the future.
Co-authors
The 24 scholars most cited alongside R. Guha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Propagation of trust and distrust Hit paper breakdown → | 2004 | 938 |
| 2 | Information diffusion through blogspace Hit paper breakdown → | 2004 | 730 |
| 3 | Information diffusion through blogspace Hit paper breakdown → | 2004 | 649 |
| 4 | Semantic search Hit paper breakdown → | 2003 | 435 |
| 5 | 2003 | 282 | |
| 6 | 1990 | 266 | |
| 7 | 1994 | 94 | |
| 8 | 2003 | 75 | |
| 9 | 2003 | 58 | |
| 10 | 1991 | 40 | |
| 11 | 2005 | 26 | |
| 12 | 1991 | 26 | |
| 13 | Language, representation and contexts | 1992 | 10 |
| 14 | 1993 | 5 | |
| 15 | 2003 | 4 | |
| 16 | 2003 | 1 |
About R. Guha
R. Guha is a scholar working on Artificial Intelligence, Computer Networks and Communications, Information Systems, Statistical and Nonlinear Physics and Information Systems and Management, having authored 16 papers that have together received 3.6k indexed citations. Recurring topics across this work include Semantic Web and Ontologies (10 papers), Web Data Mining and Analysis (4 papers), Advanced Database Systems and Queries (4 papers), AI-based Problem Solving and Planning (2 papers), Logic, Reasoning, and Knowledge (2 papers), Scientific Computing and Data Management (2 papers), Complex Network Analysis Techniques (2 papers) and Peer-to-Peer Network Technologies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.4k citations), Information Systems (1.4k citations), Artificial Intelligence (2.0k citations), Communication (287 citations) and Computer Networks and Communications (789 citations). R. Guha has collaborated with scholars based in United States. Frequent co-authors include Andrew Tomkins, Daniel Gruhl, David Liben‐Nowell, Prabhakar Raghavan, Ravi Kumar, Rob McCool, Éric Miller, Douglas B. Lenat, Dexter Pratt and Mary Shepherd. Their work appears in journals such as Communications of the ACM, Computer Networks, Applied Artificial Intelligence, Journal of Web Semantics and Artificial Intelligence.
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.