Lajos Hajdu

1.3k citations
106 papers · 662 indexed · h-index 13

Lajos Hajdu

88 papers receiving 593 citations

Peers

Lajos Hajdu
Comparison fields: 5 of 63
  • Algebra and Number Theory 320
  • Geometry and Topology 345
  • Discrete Mathematics and Combinatorics 110
  • Mathematical Physics 177
  • Computer Vision and Pattern Recognition 179
Replace Mauro C. Beltrametti with:
Mauro C. Beltrametti Italy
Lizhen Ji United States
Sibe Mardešić Croatia
Jerzy Dydak United States
C. H. Dowker United Kingdom
Évelyne Hubert France
Robert J. Daverman United States
Martin Moskowitz United States
Vagn Lundsgaard Hansen Denmark
Ross Geoghegan United States
Lajos Hajdu relative to Mauro C. Beltrametti Italy Mauro C. Beltrametti's profile →
Citations per field
00.5×4.5×
Mauro C. Beltrametti · 1×
Citations per year

Countries citing papers authored by Lajos Hajdu

Since Specialization
Citations

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

Fields of papers citing papers by Lajos Hajdu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20230
3 20230
4
On the distribution of polynomials with bounded height
20171
5 20150
6 20153
7 20142
8 20142
9 20141
10 20127
11 20128
12 20112
13 20105
14
Properties and Applications of Neighborhood Sequences
20051
15 200415
16 20041
17
Velocity and distance of neighbourhood sequences
20032
18 20037
19 200121
20 199811

About Lajos Hajdu

Lajos Hajdu is a scholar working on Algebra and Number Theory, Discrete Mathematics and Combinatorics and Geometry and Topology, having authored 106 papers that have together received 662 indexed citations. Recurring topics across this work include Analytic Number Theory Research (55 papers), Algebraic Geometry and Number Theory (38 papers), Limits and Structures in Graph Theory (23 papers), Coding theory and cryptography (17 papers), Digital Image Processing Techniques (15 papers), Polynomial and algebraic computation (13 papers), Mathematical Dynamics and Fractals (13 papers) and Medical Image Segmentation Techniques (12 papers). The work is most often cited by research in Algebra and Number Theory (320 citations), Geometry and Topology (345 citations) and Discrete Mathematics and Combinatorics (110 citations). Lajos Hajdu has collaborated with scholars based in Hungary, Netherlands and India. Frequent co-authors include Kálmán Győry, N. Saradha, R. Tijdeman, András Hajdú, Attila Fazekas, Ákos Pintér, Nils Bruin, Michael A. Bennett, Florian Luca and Andràs Sárközy. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Mathematics of Computation.

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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