Károly Csalogány

974 citations
15 papers · 615 · h-index 11

Impact in

Papers in

Károly Csalogány

14 papers receiving 557 citations

Peers

Károly Csalogány
Comparison fields: 5 of 61
  • Computational Mathematics 10
  • Information Systems 359
  • Statistical and Nonlinear Physics 165
  • Artificial Intelligence 325
  • Signal Processing 95
Replace Makoto Nakatsuji with:
Makoto Nakatsuji Japan
Nikolaj Tatti Finland
Börkur Sigurbjörnsson Netherlands
Vacha Dave United States
Ramesh R. Sarukkai United States
Bottyán Németh Hungary
Ines Färber Germany
Kelvin Sim Singapore
Károly Csalogány relative to Makoto Nakatsuji Japan Makoto Nakatsuji's profile →
Citations per field
00.5×2.7×
Makoto Nakatsuji · 1×
Citations per year

Countries citing papers authored by Károly Csalogány

Since Specialization
Citations

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

Fields of papers citing papers by Károly Csalogány

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Károly Csalogány, 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 Károly Csalogány Line = papers co-authored together Károly Csalogány links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2005186
2
SpamRank -- Fully Automatic Link Spam Detection.
2005118
3
Methods for large scale SVD with missing values
200798
4
Link-Based Similarity Search to Fight Web Spam
200647
5 200636
6 200724
7 200723
8
SpamRank - fully automatic link spam detection. Work in progress
200521
9 200621
10
Performing cross-language retrieval with wikipedia
200712
11
Semi-Supervised Learning: A Comparative Study for Web Spam and Telephone User Churn
200710
12 20038
13 20057
14
Cross-modal Retrieval by Text and Image Feature Biclustering.
20073
15
PageRank és azon túl: Hiperhivatkozások szerepe a keresésben
20061

About Károly Csalogány

Károly Csalogány is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Computer Vision and Pattern Recognition and Sociology and Political Science, having authored 15 papers that have together received 615 indexed citations. Recurring topics across this work include Spam and Phishing Detection (5 papers), Web Data Mining and Analysis (5 papers), Algorithms and Data Compression (3 papers), Complex Network Analysis Techniques (2 papers), Caching and Content Delivery (2 papers), Misinformation and Its Impacts (2 papers), Text and Document Classification Technologies (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computational Mathematics (10 citations), Information Systems (359 citations), Statistical and Nonlinear Physics (165 citations), Artificial Intelligence (325 citations) and Signal Processing (95 citations). Károly Csalogány has collaborated with scholars based in Hungary. Frequent co-authors include Tamás Sarlós, András A. Benczúr, Dániel Fogaras, Balázs Rácz, István Bíró, Lukács László, István Bíró, Bálint Daróczy, Ellen M. Friedman and Mátyás Brendel. Their work appears in journals such as Internet Mathematics and SZTAKI Publication Repository (Hungarian Academy of Sciences).

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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