Nada Hladni

564 total citations
37 papers, 299 citations indexed

About

Nada Hladni is a scholar working on Plant Science, General Agricultural and Biological Sciences and Agronomy and Crop Science. According to data from OpenAlex, Nada Hladni has authored 37 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 12 papers in General Agricultural and Biological Sciences and 5 papers in Agronomy and Crop Science. Recurrent topics in Nada Hladni's work include Sunflower and Safflower Cultivation (35 papers), Agriculture and Biological Studies (12 papers) and Genetics and Plant Breeding (11 papers). Nada Hladni is often cited by papers focused on Sunflower and Safflower Cultivation (35 papers), Agriculture and Biological Studies (12 papers) and Genetics and Plant Breeding (11 papers). Nada Hladni collaborates with scholars based in Serbia, Croatia and Canada. Nada Hladni's co-authors include Dragan Škorić, Marija Kraljević-Balalić, Siniša Jocić, Vladimir Miklič, Dragana Miladinović, Zvonimir Sakač, Sandra Cvejić, S. Terzić, Anto Mijić and Miroslav Zorić and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Science of Food and Agriculture and Euphytica.

In The Last Decade

Nada Hladni

34 papers receiving 250 citations

Author Peers

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

Author						Papers	Cites
Nada Hladni	268	54	54	42	12	37	299
Milan Jocković	247 0.9×	60 1.1×	38 0.7×	43 1.0×	10 0.8×	48	280
Mehrdad Yarnia	327 1.2×	31 0.6×	10 0.2×	82 2.0×	34 2.8×	62	369
Kayla R. Altendorf	103 0.4×	47 0.9×	10 0.2×	58 1.4×	13 1.1×	15	171
Satriyas Ilyas	227 0.8×	51 0.9×	47 0.9×	13 0.3×	37 3.1×	91	318
Iswari Saraswati Dewi	359 1.3×	57 1.1×	104 1.9×	20 0.5×	34 2.8×	86	460
Obianuju Chiamaka Emmanuel	205 0.8×	37 0.7×	12 0.2×	23 0.5×	26 2.2×	10	257
S. K. Verma	144 0.5×	43 0.8×	14 0.3×	55 1.3×	6 0.5×	87	250
Velimir Mladenov	239 0.9×	69 1.3×	12 0.2×	98 2.3×	10 0.8×	38	291
E. M. Kahangi	218 0.8×	86 1.6×	16 0.3×	10 0.2×	44 3.7×	27	277

Countries citing papers authored by Nada Hladni

Since Specialization

Citations

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

Fields of papers citing papers by Nada Hladni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nada Hladni

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

All Works

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20 of 20 papers shown

Grahovac, Nada, et al.. (2021). Prediction of mechanical extraction oil yield of new sunflower hybrids: artificial neural network model. Journal of the Science of Food and Agriculture. 101(14). 5827–5833. 5 indexed citations

Šeremešıć, Srđan, et al.. (2021). Potential of Sunflower-Legume Intercropping: A Way Forward in Sustainable Production of Sunflower in Temperate Climatic Conditions. Agronomy. 11(12). 2381–2381. 4 indexed citations

Šeremešıć, Srđan, et al.. (2020). Effect of intercropping sunflower with legumes on some sunflower morphological traits. Ratarstvo i povrtarstvo. 57(2). 61–67. 6 indexed citations

Hladni, Nada, et al.. (2019). Feasibility of growing conventional confectionary sunflower hybrids in organic agriculture: preliminary results of organic trials. Ratarstvo i povrtarstvo. 56(1). 26–33. 1 indexed citations

Miladinović, Dragana, Marko Miler, Ana Marjanović‐Jeromela, et al.. (2018). Evaluation of RAPD markers as a marker-assisted selection tool for variety type and erucic acid content in rapeseed. Genetika. 50(2). 421–430. 4 indexed citations

Miklič, Vladimir, Ana Marjanović‐Jeromela, S. Terzić, et al.. (2018). Breeding and seed production of oil crops in Serbia. FiVeR (Institute of Field and Vegetable Crops, Novi Sad, Serbia). 24(2). 1–9. 4 indexed citations

Hladni, Nada, et al.. (2017). Classification of confectionary sunflower genotypes based on morphological characters. The Journal of Agricultural Science. 155(10). 1594–1609. 13 indexed citations

Hladni, Nada, Siniša Jocić, Anto Mijić, Vladimir Miklič, & Dragana Miladinović. (2016). Correlation and path analysis of yield and yield components of confectionary sunflower. Genetika. 48(3). 827–835. 10 indexed citations

Miklič, Vladimir, et al.. (2012). EFFECT OF LOCATION AND HARVESTING DATE ON YIELD AND 1,000-SEED WEIGHT OF DIFFERENT SUNFLOWER GENOTYPES. Romanian Agricultural Research. 219–225. 8 indexed citations

10.

Hladni, Nada, Vladimir Miklič, & Nikola Hristov. (2012). Old and new trends of using genetic resources in sunflower plant breeding with the aim of preserving biodiversity.. FiVeR (Institute of Field and Vegetable Crops, Novi Sad, Serbia). 109–120. 2 indexed citations

11.

Jocić, Siniša, et al.. (2011). Development of sunflower hybrids tolerant to tribenuron methyl. Genetika. 43(1). 175–182. 15 indexed citations

12.

Hladni, Nada, et al.. (2011). New confectionary sunflower hybrids in NS palette. SHILAP Revista de lepidopterología. 48(1). 49–56. 2 indexed citations

13.

Hladni, Nada, et al.. (2011). Line X tester analysis for yield components in sunflower and their correlations with seed yield (Helianthus annuus L.). Genetika. 43(2). 297–306. 18 indexed citations

14.

Miklič, Vladimir, et al.. (2010). Stability estimation for seed and oil yield of NS sunflower hybrids in small-plot trials and recommendations for 2010 sowing season.. Ratarstvo i povrtarstvo. 47(1). 131–146. 3 indexed citations

15.

Miklič, Vladimir, et al.. (2008). Sunflower breeding at Institute of field and vegetable crops. FiVeR (Institute of Field and Vegetable Crops, Novi Sad, Serbia). 45(1). 31–63. 4 indexed citations

16.

Jocić, Siniša, et al.. (2008). New sunflower hybrids tolerant to tribenuron-methyl. FiVeR (Institute of Field and Vegetable Crops, Novi Sad, Serbia). 45(2). 89–95.

17.

Hladni, Nada, Dragan Škorić, & Marija Kraljević-Balalić. (2008). Line X tester analysis of morphophysiological traits and their correlations with seed yield and oil content in sunflower (Helianthus annuus L.). Genetika. 40(2). 135–144. 8 indexed citations

18.

Miklič, Vladimir, et al.. (2008). Sunflower breeding at Institute of Field and Vegetable Crops [Novi Sad, Serbia]. 1 indexed citations

19.

Škorić, Dragan, Siniša Jocić, Nada Hladni, et al.. (2006). Achievements of sunflower breeding. FiVeR (Institute of Field and Vegetable Crops, Novi Sad, Serbia). 42(1). 131–172. 3 indexed citations

20.

Škorić, Dragan, et al.. (2005). Evaluation of production characteristics of NS sunflower hybrids. FiVeR (Institute of Field and Vegetable Crops, Novi Sad, Serbia). 1 indexed citations

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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