T. Lazovich

32.2k total citations
9 papers, 36 citations indexed

About

T. Lazovich is a scholar working on Electrical and Electronic Engineering, Sociology and Political Science and Information Systems. According to data from OpenAlex, T. Lazovich has authored 9 papers receiving a total of 36 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Electrical and Electronic Engineering, 2 papers in Sociology and Political Science and 2 papers in Information Systems. Recurrent topics in T. Lazovich's work include Particle Detector Development and Performance (2 papers), Software Engineering Research (2 papers) and Misinformation and Its Impacts (2 papers). T. Lazovich is often cited by papers focused on Particle Detector Development and Performance (2 papers), Software Engineering Research (2 papers) and Misinformation and Its Impacts (2 papers). T. Lazovich collaborates with scholars based in United States, United Kingdom and Romania. T. Lazovich's co-authors include Onur Özdemir, Louis Y. Kim, H. Chen, Peter Chin, L. Yao, Kai Chen, Jack Bandy, Rumman Chowdhury, Kristian Lum and Rebecca L. Russell and has published in prestigious journals such as The European Physical Journal C, IEEE Transactions on Electromagnetic Compatibility and Patterns.

In The Last Decade

T. Lazovich

9 papers receiving 35 citations

Peers

T. Lazovich
Comparison fields: 5 of 25
  • Electrical and Electronic Engineering 10
  • Information Systems 9
  • Nuclear and High Energy Physics 9
  • Artificial Intelligence 8
  • Sociology and Political Science 6
Replace S. Lüders with:
S. Lüders Switzerland
A. I. Kononov Russia
K. Wrona Germany
F. Alfonsi Italy
Stéphanie Kerckhof Italy
A. Gianoli Italy
S. Jakobsen United Kingdom
D. Bucher Germany
G. Avolio Switzerland
S. Gowdy United Kingdom
S. Lüders Switzerland View profile →
Citations per field, relative to T. Lazovich
T. Lazovich · 1×
Citations per year, relative to T. Lazovich
T. Lazovich · 1×

Countries citing papers authored by T. Lazovich

Since Specialization
Citations

This map shows the geographic impact of T. Lazovich'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 T. Lazovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Lazovich more than expected).

Fields of papers citing papers by T. Lazovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Lazovich

This figure shows the co-authorship network connecting the top 25 collaborators of T. Lazovich. A scholar is included among the top collaborators of T. Lazovich based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. Lazovich. T. Lazovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 8
2 2
3
Does Deep Learning Have Politics
1
4 9
5
Search for the direct production of charginos and neutralinos in s√ = 13 TeV pp collisions with the ATLAS detector
2
6
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
5
7 2
8 6
9
The Trigger Processor and Trigger Processor Algorithms for the ATLAS New Small Wheel Upgrade
1

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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2026