Riane Johnly Pio

64 total papers · 456 total citations
36 papers, 268 citations indexed

About

Riane Johnly Pio is a scholar working on Organizational Behavior and Human Resource Management, Human Factors and Ergonomics and Demography. According to data from OpenAlex, Riane Johnly Pio has authored 36 papers receiving a total of 268 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Organizational Behavior and Human Resource Management, 21 papers in Human Factors and Ergonomics and 13 papers in Demography. Recurrent topics in Riane Johnly Pio's work include Employee Performance and Management (21 papers), Employee Performance and Leadership (19 papers) and Employee Performance and Motivation (11 papers). Riane Johnly Pio is often cited by papers focused on Employee Performance and Management (21 papers), Employee Performance and Leadership (19 papers) and Employee Performance and Motivation (11 papers). Riane Johnly Pio collaborates with scholars based in Indonesia and United Kingdom. Riane Johnly Pio's co-authors include Umar Nimran, Djamhur Hamid, Basilius Redan Werang, Sandra Ingried Asaloei, Anak Agung Gede Agung and Wehelmina Rumawas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Management Development and International Journal of Law and Management.

In The Last Decade

Riane Johnly Pio

28 papers receiving 249 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Riane Johnly Pio	180	138	72	29	28	36	268
Meily Margaretha	159 0.9×	121 0.9×	54 0.8×	46 1.6×	18 0.6×	29	308
I Ketut Setia Sapta	158 0.9×	114 0.8×	66 0.9×	32 1.1×	6 0.2×	28	305
Ni Wayan Mujiati	169 0.9×	160 1.2×	48 0.7×	27 0.9×	29 1.0×	51	241
Agoes Ganesha Rahyuda	155 0.9×	143 1.0×	40 0.6×	55 1.9×	30 1.1×	52	291
Kusdi Rahardjo	127 0.7×	97 0.7×	44 0.6×	21 0.7×	15 0.5×	38	259
Agung Wahyu Handaru	184 1.0×	156 1.1×	33 0.5×	43 1.5×	18 0.6×	65	279
Ahyar Yuniawan	154 0.9×	109 0.8×	75 1.0×	39 1.3×	10 0.4×	66	311
I Made Artha Wibawa	188 1.0×	180 1.3×	24 0.3×	19 0.7×	30 1.1×	56	274
Bachruddin Saleh Luturlean	149 0.8×	89 0.6×	30 0.4×	12 0.4×	15 0.5×	40	268
Семен Резник	77 0.4×	65 0.5×	21 0.3×	56 1.9×	7 0.3×	36	222

Countries citing papers authored by Riane Johnly Pio

Since Specialization

Citations

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

Fields of papers citing papers by Riane Johnly Pio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Riane Johnly Pio. 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 Riane Johnly Pio. The network helps show where Riane Johnly Pio may publish in the future.

Co-authorship network of co-authors of Riane Johnly Pio

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

All Works

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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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