Olga Parkhimovich

472 citations
7 papers · 285 indexed · 1 hit paper · h-index 4
Topics
Data Quality and Management (2 papers)E-Government and Public Services (2 papers)Social Media and Politics (1 paper)
Journals
SHILAP Revista de lepidopterologíaGovernment Information Quarterly
Partner nations
RussiaUnited States

In The Last Decade

Olga Parkhimovich

7 papers receiving 268 citations

Hit Papers

Planning and designing open government data programs: An ...2016202620192022201650100150200250

Peers

Olga Parkhimovich
Comparison fields: 5 of 48
  • Political Science and International Relations 214
  • Management Science and Operations Research 76
  • Sociology and Political Science 71
  • Artificial Intelligence 70
  • Management Information Systems 59
Replace Noor Huijboom with:
Noor Huijboom Netherlands
Lyudmila Vidiasova Russia
Luigi Reggi United States
Jin Lo Taiwan
Nataša Veljković Serbia
Raimondo Iemma Italy
T.M. van Engers Netherlands
Lise Tordrup Heeager Denmark
Gastón Concha Chile
Leif Sundberg Sweden
Olga Parkhimovich relative to Noor Huijboom Netherlands Noor Huijboom's profile →
Citations per field
00.5×6.8×
Noor Huijboom · 1×
Citations per year

Countries citing papers authored by Olga Parkhimovich

Since Specialization
Citations

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

Fields of papers citing papers by Olga Parkhimovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Olga Parkhimovich

This figure shows the co-authorship network connecting the top 25 collaborators of Olga Parkhimovich. A scholar is included among the top collaborators of Olga Parkhimovich 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 Olga Parkhimovich. Olga Parkhimovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 1
2
Planning and designing open government data programs: An ecosystem approachbreakdown →
270
3 4
4 1
5
A Combined Method for E-Learning Ontology Population based on NLP and User Activity Analysis.
2
6 4
7 3

About Olga Parkhimovich

Olga Parkhimovich is a scholar working on Development, Computer Science Applications and Management Science and Operations Research, having authored 7 papers that have together received 285 indexed citations. Recurring topics across this work include Data Quality and Management (2 papers), E-Government and Public Services (2 papers) and Social Media and Politics (1 paper). The work is most often cited by research in Public Administration (33 citations), Political Science and International Relations (214 citations) and Management Information Systems (59 citations). Olga Parkhimovich has collaborated with scholars based in Russia and United States. Frequent co-authors include Lyudmila Vidiasova, Sharon S. Dawes, Dmitry Mouromtsev and Mikhail Galkin. Their work appears in journals such as SHILAP Revista de lepidopterología and Government Information Quarterly.

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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