Alejandro Vaisman

67 papers receiving 1.1k citations

Peers

Alejandro Vaisman
Comparison fields: 5 of 78
  • Signal Processing 753
  • Geography, Planning and Development 191
  • Computer Networks and Communications 724
  • Transportation 211
  • Artificial Intelligence 528
Replace Michael H. Böhlen with:
Michael H. Böhlen Italy
Christos Doulkeridis Greece
Esteban Zimányi Belgium
Nikos A. Lorentzos Greece
Mohamed Sarwat United States
Dimitrios Skoutas Greece
Ke Deng Australia
Yaron Kanza United States
Seung-won Hwang South Korea
M. Andrea Rodríguez Chile
Alejandro Vaisman relative to Michael H. Böhlen Italy Michael H. Böhlen's profile →
Citations per field
00.5×3.2×
Michael H. Böhlen · 1×
Citations per year

Countries citing papers authored by Alejandro Vaisman

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Vaisman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007267
2 2007154
3 199997
4 201479
5
Temporal Queries in OLAP
200065
6 200752
7 199950
8 201335
9 200326
10 202126
11 200924
12 201222
13 200721
14 201918
15 201317
16 200917
17 200916
18 201616
19 202015
20
QB4OLAP: A new vocabulary for olap cubes on the semantic web
201212

About Alejandro Vaisman

Alejandro Vaisman is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Management Science and Operations Research, having authored 69 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Database Systems and Queries (52 papers), Data Management and Algorithms (51 papers), Semantic Web and Ontologies (27 papers), Data Mining Algorithms and Applications (13 papers), Data Quality and Management (10 papers), Geographic Information Systems Studies (9 papers), Graph Theory and Algorithms (7 papers) and Traffic Prediction and Management Techniques (5 papers). The work is most often cited by research in Signal Processing (753 citations), Geography, Planning and Development (191 citations), Computer Networks and Communications (724 citations), Transportation (211 citations) and Artificial Intelligence (528 citations). Alejandro Vaisman has collaborated with scholars based in Argentina, Belgium and Canada. Frequent co-authors include Carlos Hurtado, Alberto O. Mendelzon, Bart Kuijpers, Esteban Zimányi, Bart Moelans, Claudio Gutiérrez, Luís Otávio Álvares, José Antônio Fernandes de Macêdo, Vânia Bogorny and Flavio Rizzolo. Their work appears in journals such as ISPRS International Journal of Geo-Information, International Journal of Data Warehousing and Mining, Information Systems, Data & Knowledge Engineering and Transactions in GIS.

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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