Valdis Bērziņš

1.3k citations
79 papers · 784 indexed · h-index 14

Valdis Bērziņš

72 papers receiving 719 citations

Peers

Valdis Bērziņš
Comparison fields: 5 of 96
  • Software 123
  • Paleontology 176
  • Archeology 126
  • Computer Vision and Pattern Recognition 226
  • Anthropology 98
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Citations per year

Countries citing papers authored by Valdis Bērziņš

Since Specialization
Citations

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

Fields of papers citing papers by Valdis Bērziņš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20231
3 20224
4 20222
5 20223
6 202011
7 20201
8
Long-term variation in lithic technological traditions and social interaction: the Stone Age of the Eastern Baltic (Latvia), 10,500–2900 calBC
20198
9 20191
10 201629
11
Making Sense of the Earliest Ceramics in North-Eastern Europe
20151
12
Fishing Seasonality and Techniques in Prehistory: Why Freshwater Fish are Special
20106
13
An Admission Control Method for Dynamic Software Reconfiguration in Complex Embedded Systems.
20061
14
Software prototyping
20031
15
Computer Aided Prototyping System.
19953
16
Software Merging and Slicing
199510
17
Automated Merging of Software Prototypes.
19931
18
Generalization Per Category: Theory And Application
19856
19
Revamp your hydrogen plant.
19831
20
Edge detection in optical flow fields
198211

About Valdis Bērziņš

Valdis Bērziņš is a scholar working on Software, Space and Planetary Science and Paleontology, having authored 79 papers that have together received 784 indexed citations. Recurring topics across this work include Archaeology and ancient environmental studies (22 papers), Software Engineering Research (14 papers), Advanced Software Engineering Methodologies (13 papers), Ancient and Medieval Archaeology Studies (12 papers), Software Reliability and Analysis Research (9 papers), Geology and Paleoclimatology Research (9 papers), Pleistocene-Era Hominins and Archaeology (8 papers) and Software Testing and Debugging Techniques (8 papers). The work is most often cited by research in Software (123 citations), Paleontology (176 citations) and Archeology (126 citations). Valdis Bērziņš has collaborated with scholars based in Latvia, United States and Germany. Frequent co-authors include William B. Thompson, Ilga Zagorska, Harald Lübke, John Meadows, Ulrich Schmölcke, Luqi, David A. Naumann, Ute Brinker, Gunita Zariņa and Mudıte Rudzıte. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Journal of Molecular Biology.

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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